57 citations · 145 across the 10 of their papers we have counts for
7 papers · 1 filter
Optical Flow Estimation via Motion Feature Recovery
Yang Jiao, Guangming Shi, Trac D. Tran
Optical flow estimation with occlusion or large displacement is a problematic challenge due to the lost of corresponding pixels between consecutive frames. In this paper, we discov…
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
Yang Jiao, Yi Niu, Trac D. Tran +1
In 2D+3D facial expression recognition (FER), existing methods generate multi-view geometry maps to enhance the depth feature representation. However, this may introduce false esti…
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
Yang Jiao, Trac D. Tran, Guangming Shi
This paper addresses the challenging unsupervised scene flow estimation problem by jointly learning four low-level vision sub-tasks: optical flow , stereo-depth $\textb…
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Wentao Zhu, Xiang Xiang, Trac D. Tran +2
Mass segmentation provides effective morphological features which are important for mass diagnosis. In this work, we propose a novel end-to-end network for mammographic mass segmen…
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Dong Yang, Tao Xiong, Daguang Xu +10
Automatic localization and labeling of vertebra in 3D medical images plays an important role in many clinical tasks, including pathological diagnosis, surgical planning and postope…
Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference
Minh Dao, Xiang Xiang, Bulent Ayhan +2
In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data. The proposed model contains two-processing steps in which the first step separate and the…